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Interpretable Learning for Self-Driving Cars by Visualizing Causal
  Attention

Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention

30 March 2017
Jinkyu Kim
John F. Canny
    FAtt
    XAI
    OOD
    MILM
    CML
ArXivPDFHTML

Papers citing "Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention"

50 / 154 papers shown
Title
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation
Yi Yu
Song Xia
Xun Lin
Chenqi Kong
Wenhan Yang
Shijian Lu
Yap-Peng Tan
Alex C. Kot
AAML
SILM
193
0
0
20 Apr 2025
Optical Flow Matters: an Empirical Comparative Study on Fusing Monocular
  Extracted Modalities for Better Steering
Optical Flow Matters: an Empirical Comparative Study on Fusing Monocular Extracted Modalities for Better Steering
Fouad Makiyeh
Mark Bastourous
Anass Bairouk
Wei Xiao
Mirjana Maras
Tsun-Hsuan Wangb
Marc Blanchon
Ramin Hasani
Patrick Chareyre
Daniela Rus
23
2
0
18 Sep 2024
DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in
  Autonomous Driving
DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving
Songning Lai
Tianlang Xue
Hongru Xiao
Lijie Hu
Jiemin Wu
Ninghui Feng
Runwei Guan
Haicheng Liao
Zhenning Li
Yutao Yue
36
4
0
16 Sep 2024
Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference
Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference
Huy-Dung Nguyen
Anass Bairouk
Mirjana Maras
Wei Xiao
Tsun-Hsuan Wang
Patrick Chareyre
Ramin Hasani
Marc Blanchon
Daniela Rus
53
1
0
16 Sep 2024
Hint-AD: Holistically Aligned Interpretability in End-to-End Autonomous
  Driving
Hint-AD: Holistically Aligned Interpretability in End-to-End Autonomous Driving
Kairui Ding
Boyuan Chen
Yuchen Su
Huan-ang Gao
Bu Jin
...
Wuqiang Zhang
Xiaohui Li
Paul Barsch
Hongyang Li
Hao Zhao
58
3
0
10 Sep 2024
Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey
Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey
Ruiqi Zhang
Jing Hou
Florian Walter
Shangding Gu
Jiayi Guan
Florian Röhrbein
Yali Du
Panpan Cai
G. Chen
Alois Knoll
49
13
0
19 Aug 2024
Large Language Models for Human-like Autonomous Driving: A Survey
Large Language Models for Human-like Autonomous Driving: A Survey
Yun Li
Kai Katsumata
Ehsan Javanmardi
Manabu Tsukada
LM&MA
52
6
0
27 Jul 2024
Exploring the Causality of End-to-End Autonomous Driving
Exploring the Causality of End-to-End Autonomous Driving
Jiankun Li
Hao Li
Jiangjiang Liu
Zhikang Zou
Xiaoqing Ye
F. Wang
Jizhou Huang
Hua Wu
Haifeng Wang
LRM
61
4
0
09 Jul 2024
Noise-Free Explanation for Driving Action Prediction
Noise-Free Explanation for Driving Action Prediction
Hongbo Zhu
Theodor Wulff
R. S. Maharjan
Jinpei Han
Angelo Cangelosi
AAML
FAtt
38
0
0
08 Jul 2024
Explainable Image Recognition via Enhanced Slot-attention Based
  Classifier
Explainable Image Recognition via Enhanced Slot-attention Based Classifier
Bowen Wang
Liangzhi Li
Jiahao Zhang
Yuta Nakashima
Hajime Nagahara
OCL
52
1
0
08 Jul 2024
IDD-X: A Multi-View Dataset for Ego-relative Important Object
  Localization and Explanation in Dense and Unstructured Traffic
IDD-X: A Multi-View Dataset for Ego-relative Important Object Localization and Explanation in Dense and Unstructured Traffic
Chirag Parikh
Rohit Saluja
C. V. Jawahar
Ravi Kiran Sarvadevabhatla
35
2
0
12 Apr 2024
Structured Gradient-based Interpretations via Norm-Regularized
  Adversarial Training
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training
Shizhan Gong
Qi Dou
Farzan Farnia
FAtt
42
2
0
06 Apr 2024
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review
  and Research Roadmap
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap
Sule Tekkesinoglu
Azra Habibovic
Lars Kunze
32
3
0
19 Mar 2024
Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous
  Vehicle Decision-Making
Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making
Hanxi Wan
Pei Li
Arpan Kusari
AI4CE
34
0
0
18 Mar 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Shahin Atakishiyev
Mohammad Salameh
Randy Goebel
72
6
0
18 Mar 2024
Improving Explainable Object-induced Model through Uncertainty for
  Automated Vehicles
Improving Explainable Object-induced Model through Uncertainty for Automated Vehicles
Shihong Ling
Yue Wan
Xiaowei Jia
Na Du
41
1
0
23 Feb 2024
Self-Supervised Interpretable End-to-End Learning via Latent Functional
  Modularity
Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity
Hyunki Seong
David Hyunchul Shim
30
0
0
21 Feb 2024
DriveVLM: The Convergence of Autonomous Driving and Large
  Vision-Language Models
DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models
Xiaoyu Tian
Junru Gu
Bailin Li
Yicheng Liu
Yang Wang
Chenxu Hu
Kun Zhan
Peng Jia
Xianpeng Lang
Hang Zhao
VLM
73
126
0
19 Feb 2024
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented
  In-Context Learning in Multi-Modal Large Language Model
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model
Jianhao Yuan
Shuyang Sun
Daniel Omeiza
Bo Zhao
Paul Newman
Lars Kunze
Matthew Gadd
LRM
36
49
0
16 Feb 2024
Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied
  Scenarios
Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios
Yuxin Wang
Zunlei Feng
Haofei Zhang
Yang Gao
Jie Lei
Li Sun
Mingli Song
AAML
29
1
0
04 Feb 2024
Is Knowledge All Large Language Models Needed for Causal Reasoning?
Is Knowledge All Large Language Models Needed for Causal Reasoning?
Hengrui Cai
Shengjie Liu
Rui Song
LRM
ELM
28
10
0
30 Dec 2023
LingoQA: Video Question Answering for Autonomous Driving
LingoQA: Video Question Answering for Autonomous Driving
Ana-Maria Marcu
Long Chen
Jan Hünermann
Alice Karnsund
Benoît Hanotte
...
Vijay Badrinarayanan
Alex Kendall
Jamie Shotton
Elahe Arani
Oleg Sinavski
29
31
0
21 Dec 2023
Universal Deoxidation of Semiconductor Substrates Assisted by
  Machine-Learning and Real-Time-Feedback-Control
Universal Deoxidation of Semiconductor Substrates Assisted by Machine-Learning and Real-Time-Feedback-Control
Chaorong Shen
Wenkang Zhan
Jian Tang
Zhaofeng Wu
Bop Xu
Chao Zhao
Zhanguo Wang
34
0
0
04 Dec 2023
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition
Chong Wang
Yuanhong Chen
Fengbei Liu
Yuyuan Liu
Davis J. McCarthy
Helen Frazer
Gustavo Carneiro
29
1
0
30 Nov 2023
Towards interpretable-by-design deep learning algorithms
Towards interpretable-by-design deep learning algorithms
Plamen Angelov
D. Kangin
Ziyang Zhang
24
6
0
19 Nov 2023
Interpretable Reinforcement Learning for Robotics and Continuous Control
Interpretable Reinforcement Learning for Robotics and Continuous Control
Rohan R. Paleja
Letian Chen
Yaru Niu
Andrew Silva
Zhaoxin Li
...
K. Chang
H. E. Tseng
Yan Wang
S. Nageshrao
Matthew C. Gombolay
37
7
0
16 Nov 2023
DRUformer: Enhancing the driving scene Important object detection with
  driving relationship self-understanding
DRUformer: Enhancing the driving scene Important object detection with driving relationship self-understanding
Yingjie Niu
Ming Ding
Keisuke Fujii
Kento Ohtani
Alexander Carballo
K. Takeda
ViT
38
0
0
11 Nov 2023
A Survey on Transferability of Adversarial Examples across Deep Neural
  Networks
A Survey on Transferability of Adversarial Examples across Deep Neural Networks
Jindong Gu
Xiaojun Jia
Pau de Jorge
Wenqain Yu
Xinwei Liu
...
Anjun Hu
Ashkan Khakzar
Zhijiang Li
Xiaochun Cao
Philip Torr
AAML
31
27
0
26 Oct 2023
Driving with LLMs: Fusing Object-Level Vector Modality for Explainable
  Autonomous Driving
Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving
Long Chen
Oleg Sinavski
Jan Hünermann
Alice Karnsund
Andrew James Willmott
Danny Birch
Daniel Maund
Jamie Shotton
MLLM
20
182
0
03 Oct 2023
DriveGPT4: Interpretable End-to-end Autonomous Driving via Large
  Language Model
DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model
Zhenhua Xu
Yujia Zhang
Enze Xie
Zhen Zhao
Yong Guo
Kwan-Yee. K. Wong
Zhenguo Li
Hengshuang Zhao
MLLM
22
255
0
02 Oct 2023
Symbolic Imitation Learning: From Black-Box to Explainable Driving
  Policies
Symbolic Imitation Learning: From Black-Box to Explainable Driving Policies
Shengze Jin
Saber Fallah
20
1
0
27 Sep 2023
Interpretability-Aware Vision Transformer
Interpretability-Aware Vision Transformer
Yao Qiang
Chengyin Li
Prashant Khanduri
D. Zhu
ViT
85
7
0
14 Sep 2023
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and
  Reasoning
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning
Enna Sachdeva
Nakul Agarwal
Suhas Chundi
Sean Roelofs
Jiachen Li
Mykel Kochenderfer
Chiho Choi
Behzad Dariush
33
47
0
12 Sep 2023
SAFE: Saliency-Aware Counterfactual Explanations for DNN-based Automated
  Driving Systems
SAFE: Saliency-Aware Counterfactual Explanations for DNN-based Automated Driving Systems
Amir Samadi
A. Shirian
K. Koufos
Kurt Debattista
M. Dianati
AAML
FAtt
LRM
26
8
0
28 Jul 2023
Explaining Autonomous Driving Actions with Visual Question Answering
Explaining Autonomous Driving Actions with Visual Question Answering
Shahin Atakishiyev
Mohammad Salameh
H. Babiker
Randy Goebel
36
15
0
19 Jul 2023
End-to-end Autonomous Driving: Challenges and Frontiers
End-to-end Autonomous Driving: Challenges and Frontiers
Li Chen
Peng Wu
Kashyap Chitta
Bernhard Jaeger
Andreas Geiger
Hongyang Li
3DV
64
264
0
29 Jun 2023
Simulation-Based Counterfactual Causal Discovery on Real World Driver
  Behaviour
Simulation-Based Counterfactual Causal Discovery on Real World Driver Behaviour
Rhys Howard
Lars Kunze
CML
27
3
0
06 Jun 2023
A Survey of Explainable AI and Proposal for a Discipline of Explanation
  Engineering
A Survey of Explainable AI and Proposal for a Discipline of Explanation Engineering
Clive Gomes
Lalitha Natraj
Shijun Liu
Anushka Datta
18
0
0
20 May 2023
Textual Explanations for Automated Commentary Driving
Textual Explanations for Automated Commentary Driving
Marc Alexander Kühn
Daniel Omeiza
Lars Kunze
30
6
0
12 Apr 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems
A Review of the Role of Causality in Developing Trustworthy AI Systems
Niloy Ganguly
Dren Fazlija
Maryam Badar
M. Fisichella
Sandipan Sikdar
...
Koustav Rudra
Manolis Koubarakis
Gourab K. Patro
W. Z. E. Amri
Wolfgang Nejdl
CML
41
23
0
14 Feb 2023
ADAPT: Action-aware Driving Caption Transformer
ADAPT: Action-aware Driving Caption Transformer
Bu Jin
Xinyi Liu
Yupeng Zheng
Pengfei Li
Hao Zhao
Tong Zhang
Yuhang Zheng
Guyue Zhou
Jingjing Liu
30
69
0
01 Feb 2023
Evaluating Temporal Observation-Based Causal Discovery Techniques
  Applied to Road Driver Behaviour
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour
Rhys Howard
Lars Kunze
CML
23
7
0
31 Jan 2023
Learning Support and Trivial Prototypes for Interpretable Image
  Classification
Learning Support and Trivial Prototypes for Interpretable Image Classification
Chong Wang
Yuyuan Liu
Yuanhong Chen
Fengbei Liu
Yu Tian
Davis J. McCarthy
Helen Frazer
G. Carneiro
36
24
0
08 Jan 2023
Explainability and Robustness of Deep Visual Classification Models
Explainability and Robustness of Deep Visual Classification Models
Jindong Gu
AAML
44
2
0
03 Jan 2023
Learning Road Scene-level Representations via Semantic Region Prediction
Learning Road Scene-level Representations via Semantic Region Prediction
Zihao Xiao
Alan Yuille
Yi-Ting Chen
29
2
0
02 Jan 2023
Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient
  Autonomous Navigation
Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation
Wenhui Huang
Yanxin Zhou
Xiangkun He
Chengqi Lv
13
27
0
01 Jan 2023
Towards Cooperative Flight Control Using Visual-Attention
Towards Cooperative Flight Control Using Visual-Attention
Lianhao Yin
Makram Chahine
Tsun-Hsuan Wang
Tim Seyde
Chao Liu
Mathias Lechner
Ramin Hasani
Daniela Rus
22
5
0
21 Dec 2022
Interpretable ML for Imbalanced Data
Interpretable ML for Imbalanced Data
Damien Dablain
C. Bellinger
Bartosz Krawczyk
D. Aha
Nitesh V. Chawla
24
1
0
15 Dec 2022
Latent SHAP: Toward Practical Human-Interpretable Explanations
Latent SHAP: Toward Practical Human-Interpretable Explanations
Ron Bitton
Alon Malach
Amiel Meiseles
Satoru Momiyama
Toshinori Araki
Jun Furukawa
Yuval Elovici
A. Shabtai
FAtt
11
4
0
27 Nov 2022
OCTET: Object-aware Counterfactual Explanations
OCTET: Object-aware Counterfactual Explanations
Mehdi Zemni
Mickaël Chen
Éloi Zablocki
H. Ben-younes
Patrick Pérez
Matthieu Cord
AAML
29
29
0
22 Nov 2022
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